Rama Chellappa and his team won the information sciences category for developing HyperFace, a cutting-edge facial recognition algorithm, while Eytan Ruppin and his collaborators earned runner-up honors for advancing technology to personalize cancer treatment.
Niklas Elmqvist had a hand in developing TimeFork, a web-based interface that combines human input with big data to improve predictions in areas like finance, weather and healthcare.
The award recognizes tenure-track faculty at UMD who have made significant scientific contributions to their respective academic disciplines, and whose research has gained significant national or international attention.
The study will explore how kids, parents, and teachers view online safety on smartphones and tablets to inform the design and testing of new interface enhancements.
Election to the Academy is reserved for pioneering leaders whose work has shaped the field, driven research, and advanced innovation in human-computer interaction.
